Our Engineering team values productivity, integrity, and pragmatism.
What Will You Do
● Improve automation code structure and framework architecture in terms of
maintainability, execution speed, and coverage; write, co-write, and review test
design/plan documentation
● Own communication throughout the sprint/release cycle, quality of features, and the
delivery of the entire feature
● Lead new language/framework POC within the technical focus area
● Drive the design/code review process for test automation, seeking and providing
constructive criticism
● Ensure your team has strong sets of documentations and journals of how their test
design and architecture/product evolves over time.
● Lead effort in working with other teams and counterparts to solve problems affecting the
team's overall delivery
● Participate in the prioritization of cross-team automation initiatives & lead those within
your own team
● Participate/Support in production/Customer deployment.
What you will Bring
● 10+ years of experience in professional testing
● Familiarity with Microservices architecture
● Deep understanding of Manual & Automation test methodologies and principles
● Strong problem-solving, interpersonal, organizational, and time management skills
● Passion for self-improvement and continual learning
● Great attitude and adaptable to taking on many diverse responsibilities
● Experience working with Web and API Testing - both manual & automation
● Experience using tools such as Jira, Git, Selenium, RestAssured, TestNG,CI/CD
pipelines.
● Experience in setting up test Infra for Functional and Non-Functional testing.
● Experience working with programming languages like Java/Python.
● Experience working with Agile process management methodology
● Experience of Performance / Security Testing and Linux/Unix commands
Shubham Vishwakarma
Full Stack Developer - Averlon
About Acceldata
About
Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.
The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.
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